Abstract：The Regional Integrated Energy System (RIES) plays a significant role in improving energy utilization and promoting renewable energy consumption, and a reasonable and effective evaluation can promote its better development. Firstly, considering the three aspects of technology, management and external resources of the system, the RIES evaluation index system was established based on the "driving force-pressure-state-impact-response" (DPSIR) model. Secondly, the randomness of index cloud correlation degree calculation was used to fit the uncertainty of system operation state in evaluation, and the comprehensive operation evaluation level of RIES was calculated by extension cloud model. Among them, the index weight is obtained by Network Analytic Hierarchy Process (ANP)-entropy-coefficient of variation method. Moreover, the penalty variable weight is used to improve the problem of covering up the "short board effect" of the model. Finally, an example simulation was implemented, which verified the evaluation comprehensiveness of the proposed model and the effectiveness of dealing with state uncertainty problems. On this basis, the sensitivity simulation analysis of the optimization sequence of indicators was carried out.
马丽叶, 张涛, 卢志刚, 杨林林. 基于变权可拓云模型的区域综合能源系统综合评价[J]. 电工技术学报, 2022, 37(11): 2789-2799.
Ma Liye, Zhang Tao, Lu Zhigang, Yang Linlin. Comprehensive Evaluation of Regional Integrated Energy System Based on Variable Weight Extension Cloud Model. Transactions of China Electrotechnical Society, 2022, 37(11): 2789-2799.
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2022, Vol. 37 
